Author: Leslie Samuel Nicholaeff
Publisher:
ISBN:
Category : Economics, Commerce and Management Sciences
Languages : en
Pages :
Book Description
Short-term Forecasting of Sales, Using the Box-Jenkins Model
Author: Leslie Samuel Nicholaeff
Publisher:
ISBN:
Category : Economics, Commerce and Management Sciences
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category : Economics, Commerce and Management Sciences
Languages : en
Pages :
Book Description
An Introduction to Short Term Forecasting Using the Box-Jenkins Methodology
Author: Vincent A. Mabert
Publisher:
ISBN:
Category : Social Science
Languages : en
Pages : 68
Book Description
Publisher:
ISBN:
Category : Social Science
Languages : en
Pages : 68
Book Description
Short Term Forecasting
Author: Thomas M. O'Donovan
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 322
Book Description
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 322
Book Description
Short Term Cement Sales Forecasting Using Box-Jenkins Univariate and Transfer Function Models
Author: Brian Weeks
Publisher:
ISBN:
Category : Cement industries
Languages : en
Pages : 362
Book Description
Publisher:
ISBN:
Category : Cement industries
Languages : en
Pages : 362
Book Description
Time Series Models for Short-Term Forecasting Performance Indicators
Author: Arno Palmrich
Publisher: GRIN Verlag
ISBN: 3640435869
Category : Business & Economics
Languages : en
Pages : 86
Book Description
Diploma Thesis from the year 2007 in the subject Business economics - Business Management, Corporate Governance, grade: highest grade (ausgezeichnet), University of Applied Sciences Kufstein Tirol, course: Economics Statistics, language: English, abstract: Managers use forecasting in budgeting time and resources. In this thesis, various advanced time series models are constructed, computed and tested for adequacy. This thesis serves as a practical guide to regression and time series analysis. It seeks to demonstrate how to approach problems according to scientific standards to students who are familiar with SPSS® but beginners in regression and time series analysis. Bibliographic notes of classical works and more recent academic advances in time series analysis are provided throughout the text. The research question that this thesis seeks to answer can be formulated in its shortest version as: “How can the management of Dalian Chemson Chemical Products Co; Ltd. use existing company data to make short-term predictions about net sales, Cost of Goods Sold (COGS), and net contribution?” More specifically, this thesis seeks to provide different tools (models) for forecasting the P&L entries net sales, COGS, and net contribution a few months ahead. This author’s approach is based on various versions of two models: One model will forecast net sales and the other model will predict COGS. The expected net contribution is simply defined as the difference between the predictions of these two models. In chapter 4.3 an ordinary least squares regression version of the two models has been computed. In chapter 4.6 a weighted least squares regression has been applied to the models. Autoregressions have been computed in chapter 4.7.1 and two Autoregressive Integrated Moving Average (ARIMA) versions have been constructed in chapter 4.7.6. The various versions of the models have then been compared against each other. The version that fits the data best will be used in forecasting. The statistical models in this thesis are computed using SPSS BaseTM, SPSS Regression ModelsTM and SPSS TrendsTM, versions 11.5.0. Each of the model versions constructed herein can be applied in a simple Excel spreadsheet. In the last chapter, a one-step-ahead forecast is produced via the in this thesis developed concept which consists of the most precise versions of the models to forecast net sales and COGS. The forecasting concept developed in this thesis is good in that it produces precise forecasts. Its simplified framework minimizes the effort and expertise required to obtain predictions.
Publisher: GRIN Verlag
ISBN: 3640435869
Category : Business & Economics
Languages : en
Pages : 86
Book Description
Diploma Thesis from the year 2007 in the subject Business economics - Business Management, Corporate Governance, grade: highest grade (ausgezeichnet), University of Applied Sciences Kufstein Tirol, course: Economics Statistics, language: English, abstract: Managers use forecasting in budgeting time and resources. In this thesis, various advanced time series models are constructed, computed and tested for adequacy. This thesis serves as a practical guide to regression and time series analysis. It seeks to demonstrate how to approach problems according to scientific standards to students who are familiar with SPSS® but beginners in regression and time series analysis. Bibliographic notes of classical works and more recent academic advances in time series analysis are provided throughout the text. The research question that this thesis seeks to answer can be formulated in its shortest version as: “How can the management of Dalian Chemson Chemical Products Co; Ltd. use existing company data to make short-term predictions about net sales, Cost of Goods Sold (COGS), and net contribution?” More specifically, this thesis seeks to provide different tools (models) for forecasting the P&L entries net sales, COGS, and net contribution a few months ahead. This author’s approach is based on various versions of two models: One model will forecast net sales and the other model will predict COGS. The expected net contribution is simply defined as the difference between the predictions of these two models. In chapter 4.3 an ordinary least squares regression version of the two models has been computed. In chapter 4.6 a weighted least squares regression has been applied to the models. Autoregressions have been computed in chapter 4.7.1 and two Autoregressive Integrated Moving Average (ARIMA) versions have been constructed in chapter 4.7.6. The various versions of the models have then been compared against each other. The version that fits the data best will be used in forecasting. The statistical models in this thesis are computed using SPSS BaseTM, SPSS Regression ModelsTM and SPSS TrendsTM, versions 11.5.0. Each of the model versions constructed herein can be applied in a simple Excel spreadsheet. In the last chapter, a one-step-ahead forecast is produced via the in this thesis developed concept which consists of the most precise versions of the models to forecast net sales and COGS. The forecasting concept developed in this thesis is good in that it produces precise forecasts. Its simplified framework minimizes the effort and expertise required to obtain predictions.
Practical Guide to Business Forecasting
Author: Chaman L. Jain & Jack Malehorn
Publisher: Institute of Business Forec
ISBN: 9780932126757
Category : Business forecasting
Languages : en
Pages : 516
Book Description
Publisher: Institute of Business Forec
ISBN: 9780932126757
Category : Business forecasting
Languages : en
Pages : 516
Book Description
Forecasting with Univariate Box - Jenkins Models
Author: Alan Pankratz
Publisher: John Wiley & Sons
ISBN: 0470317272
Category : Mathematics
Languages : en
Pages : 576
Book Description
Explains the concepts and use of univariate Box-Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step-by-step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another.
Publisher: John Wiley & Sons
ISBN: 0470317272
Category : Mathematics
Languages : en
Pages : 576
Book Description
Explains the concepts and use of univariate Box-Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step-by-step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another.
Short-term Forecasting
Author: G. A. Coutie
Publisher:
ISBN:
Category : Business forecasting
Languages : en
Pages : 52
Book Description
Publisher:
ISBN:
Category : Business forecasting
Languages : en
Pages : 52
Book Description
Sales Forecasting
Author: George C. Michael
Publisher: Marketing Classics Press
ISBN: 1613112181
Category : Business & Economics
Languages : en
Pages : 45
Book Description
Publisher: Marketing Classics Press
ISBN: 1613112181
Category : Business & Economics
Languages : en
Pages : 45
Book Description
The Forecasting Accuracy of Major Time Series Methods
Author: Spyros G. Makridakis
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 322
Book Description
STATISTICS. ECONOMETRIC METHODS. EXTRAPOLATION METHODS. BOX-JENKINS. AEP FILTERING. BAYESIAN FORECASTING. NAIVE METHOD. MOVING AVERAGE METHOD. EXPONENTIAL SMOOTHING METHOD. REGRESSION METHOD. FORSYS METHOD. SALES FORECASTING.
Publisher: John Wiley & Sons
ISBN:
Category : Business & Economics
Languages : en
Pages : 322
Book Description
STATISTICS. ECONOMETRIC METHODS. EXTRAPOLATION METHODS. BOX-JENKINS. AEP FILTERING. BAYESIAN FORECASTING. NAIVE METHOD. MOVING AVERAGE METHOD. EXPONENTIAL SMOOTHING METHOD. REGRESSION METHOD. FORSYS METHOD. SALES FORECASTING.